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A phase synchronization clustering algorithm for identifying interesting groups of genes from cell cycle expression data

BACKGROUND: The previous studies of genome-wide expression patterns show that a certain percentage of genes are cell cycle regulated. The expression data has been analyzed in a number of different ways to identify cell cycle dependent genes. In this study, we pose the hypothesis that cell cycle depe...

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主要な著者: Kim, Chang Sik, Bae, Cheol Soo, Tcha, Hong Joon
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2008
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC2335309/
https://ncbi.nlm.nih.gov/pubmed/18221564
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-9-56
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